Model comparison
Gemma 3 27B vs MiMo-V2.5
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 3 27B #164 (Supported); MiMo-V2.5 #62 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 3 27B and MiMo-V2.5 share 0 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Gemma 3 27B; 11 to MiMo-V2.5.
Updated July 21, 2026- Shared results
- 0
- Gemma 3 27B only
- 16
- MiMo-V2.5 only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Gemma 3 27B and MiMo-V2.5 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
MiMo-V2.5 has the larger context window at 1M, compared with 32K for Gemma 3 27B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 3 27B | MiMo-V2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 3 27B$0 input / $0 output | MiMo-V2.5Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemma 3 27B31 tok/s | MiMo-V2.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 3 27B2.04 s | MiMo-V2.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 3 27B32K | MiMo-V2.51M | MiMo-V2.5 lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | Gemma 3 27B | MiMo-V2.5 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 0.3% | — | Not comparable |
| τ²-bench resultsSource | 10.5% | — | Not comparable |
| GDPval-AASource | 0.0% | — | Not comparable |
| GDPval-AASource | -144 | — | Not comparable |
| Claw-EvalSource | — | 62.3% | Not comparable |
| MM-ClawBenchSource | — | 23.8% | Not comparable |
| Terminal-Bench 2.0Source | — | 65.8% | Not comparable |
| Gert LabsSource | — | 46.89% | Not comparable |
| ResearchClawBenchSource | — | 16.9% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemma 3 27B | MiMo-V2.5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 7.4% | — | Not comparable |
| AA-GPQA DiamondSource | 42.8% | — | Not comparable |
| AA-HLESource | 4.7% | — | Not comparable |
| AA-Omniscience IndexSource | -65.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 12.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 89.5% | — | Not comparable |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 3 27B | MiMo-V2.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 31.8% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemma 3 27B and MiMo-V2.5 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Gemma 3 27B and MiMo-V2.5 today?
Gemma 3 27B: $0.00 input / $0.00 output per 1M tokens MiMo-V2.5: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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